Managing behavioural and revenue based split tests across acquisition, activation and monetization
Building and maintaining analytic dashboards, reports, funnels, and experiments that help the business understand how users discover, adopt and get value from Shift
Building systems to pull and transform data from distributed sources to create, measure and maintain recurring reports
Tracking and analyzing user LTVs and cohorts to inform product and growth decisions
Partner with Product and Business Intelligence teams to validate assumptions, stress test hypotheses, and answer questions about our data
Providing clear, concise analysis and visualizations to key stakeholders
Digging into our data to surface anomalies, flag risks and identify opporutnties
Writing scripts to automate reporting workflows and reduce manual data pulls
Using AI tooling proactively for data cleaning, exploratory analysis or speeding up repetitive tasks
Setup your environment, reviewed Mixpanel and active tests
Met with key stakeholders from Product, BI, Technology and Marketing teams
Understand how Shift operates, what we measure and why
Improved or rebuilt at least one key report or dashboard with clear business value
Identified and documented any data quality issues and worked with developers to address gaps in tracking
Contributed analysis to at least one active product or monetization initiative
You’re the go to person for data questions across Revenue, Product and Growth
Built a stable reporting foundation for performance, user behaviour and product usage
Delivered insights that directly shaped a product feature or distribution decision

Requirements

3+ years of experience in a data analyst role, ideally in digital media, adtech or performance marketing
Strong SQL skills and comfort working with cloud data infrastructure (e.g. AWS S3 or similar)
Hands on experience with product analytics platforms e.g. Mixpanel, Google Analytics, Amplitude, Fullstory, or Heap
Solid understanding of performance marketing metrics and digital ad ecosystems (CPM, CPA, LTV, ROAS, fill rate, etc)
Basic Competent with Python or other scripting languages for automating data pulls, cleaning datasets and building lightweight ELT workflows
Experience building dashboards and data visualizations in tools like Tableau, Lookr or Jaspersoft or equivalent
Familiarity with A/B testing methodologies, statistical significance and experimental design
A grounding in math and statistical theory, with the ability to understand why numbers work
Comfort using AI tools (when applicable) to accelerate analysis and automate routine work
Ability to explain your insights clearly to both technical and non-technical audiences

Benefits

Competitive compensation and RRSP matching up to 5%
Comprehensive extended health benefits for you and your dependents starting day one
Generous vacation, Wellness Days, and bonus “You Days”
Meaningful paid parental leave that supports every kind of family
Dedicated mental health and Employee Assistance Program support
Monthly wellness reimbursement and annual run sponsorship
Real investment in your growth — internal learning, mentorship, professional development funding, and career mobility across Redbrick
Financial wellness coaching to support your long-term goals
Flexible work and a home office allowance to set you up for success

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata analysisdata visualizationA/B testingstatistical analysisdata cleaningELT workflowsperformance marketing metricsuser LTV analysis

Soft Skills

communicationanalytical thinkingproblem-solvingcollaborationattention to detailstakeholder managementpresentation skillscritical thinkingadaptabilityinsight generation